Normal Distribution Analyser

Versión 1.0.1 (4,12 KB) por ASWIN SEKHAR C S
This function automatically validates the normality of your data using 9 appropriate statistical and visualization techniques.
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Actualizado 21 feb 2024

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The Normal Distribution Analyser function offers automatic visual insights through histograms and Q-Q plots, and also provides essential statistical measures like skewness and kurtosis. It evaluates your data against renowned statistical tests including Shapiro-Wilk, Kolmogorov-Smirnov, Anderson-Darling, Jarque-Bera, and Lilliefors tests. The function compiles resulting P-values in a concise table, allowing you to determine whether your data follows a normal distribution accurately. It enhances your data analysis with this indispensable utility, ensuring robust statistical assessments.
Key Features:
  • Automatic detection of Normal Distribution data
  • Histogram and Q-Q plot visualization
  • Skewness and kurtosis assessment
  • Shapiro-Wilk, Kolmogorov-Smirnov, Anderson-Darling, Jarque-Bera, and Lilliefors tests
  • Tabulated output of P-values for easy interpretation
  • Precise evaluation of data normality

Citar como

ASWIN SEKHAR C S (2024). Normal Distribution Analyser (https://www.mathworks.com/matlabcentral/fileexchange/134032-normal-distribution-analyser), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2023a
Compatible con cualquier versión
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Versión Publicado Notas de la versión
1.0.1

Bugs rectified and now it's ready to use in all environments.
1.0.0